Covariance, Clearly Explained!!! @statquest
Covariance, Clearly Explained!!!  @statquest
Uploaded July 2019 | Updated September 2026, 2 weeks ago
Covariance is one of those statistical terms that you might have heard before but didn't quite understand. It sounds fancy, but it's really quite simple and it is a computational stepping stone to many other interesting concepts like correlation. This video describes covariance, what it does and doesn't do, how it's computed, and why it is more useful as a computational stepping stone rather than an end in itself.

NOTE: This StatQuest assumes you already know about "variance". If not check out the quest: youtu.be/SzZ6GpcfoQY

And if you are interested in Part 2, which explains Correlation, here's the link: youtu.be/xZ_z8KWkhXE

For a complete index of all the StatQuest videos, check out:
statquest.org/video-index

If you'd like to support StatQuest, please consider...

Patreon: patreon.com/statquest
...or...
YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join

...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
statquest.org/statquest-store

...or just donating to StatQuest!
paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
twitter.com/joshuastarmer

0:00 Awesome song and introduction
0:24 Review of variance
1:07 Motivation for Covariance
5:59 Types of Covariance relationships
7:32 How to calculate covariance
17:00 Why covariance is hard to interpret
20:31 Motivation for Correlation
21:20 Summary

Correction:
16:45 We should be dividing by 4-1, not 5-1. Oops! :)

#statquest #covariance
Covariance, Clearly Explained!!!The Golden Play Button, Clearly Explained!!!’Human Stories in AI: Brian Risk@devra.aiGradient Descent, Step-by-StepWhy Dividing By N Underestimates the VarianceThe AI Buzz, Episode #4: ChatGPT + Bing and How to start an AI company in 3 easy steps.Happy DaysLive 2020-04-06!!! Naive Bayes: GaussianStochastic Gradient Descent, Clearly Explained!!!Machine Learning Fundamentals: Sensitivity and Specificityp-values: What they are and how to interpret themWord Embedding and Word2Vec, Clearly Explained!!!
StatQuest with Josh Starmer |

Covariance, Clearly Explained!!!

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER